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Yazar
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Imane BOUGUERRA
& Hadj Moussa MANSOURI
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Türü |
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Baskı Yılı |
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2020
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Sayı |
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53
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Sayfa |
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276-291
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DOI Number: |
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| Cite : |
Imane BOUGUERRA & Hadj Moussa MANSOURI, (2020). APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN NATURAL DISASTER RISKS MANAGEMENT. Route Education and Social Science Journal , 53, p. 276-291. Doi: 10.17121/ressjournal.2774.
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993 769
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Özet
This study aimed to identify the method of using artificial intelligence and machine learning to protect people from the effects of natural disaster risks, The descriptive approach was followed to achieve this goal. The data (from international Bank’s data, and of Global Facility for Disaster Reduction and Recovery’ data), were collected to collect the necessary information and statistics. This research revealed through case studies that the machine learning for disaster risks management often applied to methods used in the classification of remotely sensed satellites, and from seismic sensor data networks and building inspection records to social media posts. Research has also shown that careful identification of vulnerability is one of the foundations for more effective risk management, And that the use of machine learning algorithms can significantly reduce the costs of natural disaster risk management.
Anahtar Kelimeler
Artificial Intelligence, Machine Learning, Risks, Natural Disaster Management.
Abstract
This study aimed to identify the method of using artificial intelligence and machine learning to protect people from the effects of natural disaster risks, The descriptive approach was followed to achieve this goal. The data (from international Bank’s data, and of Global Facility for Disaster Reduction and Recovery’ data), were collected to collect the necessary information and statistics. This research revealed through case studies that the machine learning for disaster risks management often applied to methods used in the classification of remotely sensed satellites, and from seismic sensor data networks and building inspection records to social media posts. Research has also shown that careful identification of vulnerability is one of the foundations for more effective risk management, And that the use of machine learning algorithms can significantly reduce the costs of natural disaster risk management.
Keywords
Artificial Intelligence, Machine Learning, Risks, Natural Disaster Management.
